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Congress on Image and Signal Processing, CISP

作者： Hongkai Chen Xiaoguang Zhao Min Tan The State Key Lab. of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479958368

In this paper, a novel visual tracking algorithm that uses the target salient confidence (TSC) is proposed. Two contributions are summarized as follows. First, we put forward a novel target salient confidence (TSC) model which combines the static saliency map (SSM) based on the selective visual attention model, motion attention map (MAP) and the target prior confidence (TPC). Second, we propose to use the target salient confidence for particle filter. It manipulates the distribution expressed by the particle cloud towards a better match with the target salient confidence model. In this way particle sampling can be locked on those regions with higher target salient confidence. Experiments in some video sequences show that the target salient confidence is useful for visual tracking and our algorithm is effective.

关键词： Visualization Target tracking Computational modeling Image color analysis Video sequences Signal processing algorithms

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Active disturbance rejection control: Methodology, practice and analysis 33

Active disturbance rejection control: Methodology, practice ...

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Proceedings of the 33rd Chinese control Conference, CCC 2014

作者： Huang, Yi Xue, Wenchao Zhiqiang, Gao Sira-Ramirez, Hebertt Wu, Dan Sun, Mingwei Key Lab. Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China Cleveland State University ClevelandOH44115 United States CINVESTAV Mexico City Mexico Department of Mechanical Engineering Tsinghua University Beijing100084 China College of Computer and Control Engineering Nankai University Tianjin300071 China

ISBN: (纸本)9789881563842

An overview of the active disturbance rejection control (ADRC) is presented in this talk. Ever since ADRC was proposed by Jingqing Han in 1990s[1]1, it has become quite an attractive methodology to applied researchers, even though rigorous theoretical justification was lagging behind for quite some time. The fact that ADRC possesses certain uniqueness in concepts, simplicity in engineering implementation, and superior actual performance allowed it to be readily translated into a valuable asset in engineering practice: namely, the ability in dealing with a vast range of uncertainties, improved transient response, easy implementation and energy savings, to name but a few. The range of applications seems broad, covering almost all domains of control engineering, such as motion control, speed control of induction motor and permanent-magnet synchronous motor, control for noncircular turning process, low-velocity compensation of brushless DC servo, robotic system, underactuated mechanical systems, micro-electro-mechanical systems gyroscope, control for superconducting RF cavities, flight control, attitude tracking of rigid spacecraft, web tension regulation, DC-DC power converter, chemical processes, ALSTOM gasifier benchmark problem, the boilerturbine-generator control systems, stabilization of axial flow compressors, the fractional-order system, etc. [10]-[31]. In the U.S.A., the ADRC solution was recently deployed at a Parker Hannifin Extrusion Plant in North America, resulting in over 50% energy saving per line across ten production lines, together with significant improvements in product quality [32]. And Texas Instrument has adopted the ADRC technology in developing and distributing a new line of motion control chips worldwide [33].The National Superconducting Cyclotron lab.in the U.S. has implemented ADRC in several high energy particle accelerators after significant improvements have been obtained in amplitude and phase regulation of electromagnetic fields. The ta

关键词： Permanent magnets

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Synthesis of H/sub 2/ guaranteed cost fuzzy controller for missile altitude system via linear matrix inequalities

Synthesis of H/sub 2/ guaranteed cost fuzzy controller for m...

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IEEE International Conference on systems, Man and Cybernetics

作者： Xiao-Hu Yuan Jian-Cun Ren You-Jin He Fu-Chun Sun Dept. of Control Engineering Naval Aeronautical Engineering Academy Yantai Shandong province China State Key Lab. of Intelligent Technology and Systems Tsinghua University Beijing China

ISBN: (纸本)0780385675

This paper deals with H/sub 2/ guaranteed cost (GC) fuzzy output feedback control problem for missile altitude control system. First, the Takagi-Sugeno fuzzy model is employed to represent the dynamics of the missile altitude control system. Next, we present necessary and sufficient conditions for the existence of a quadratically stabilizing fuzzy output feedback controller which also assure H/sub 2/ guaranteed cost performance on a fuzzy dynamic system where the uncertainty is of the norm bounded type. The conditions are presented as a collection of linear matrix inequalities. A simulation on the missile altitude system is given to illustrate the effectiveness of the proposed design method.

关键词： Fuzzy control Fuzzy systems control systems Missiles control system synthesis Costs Output feedback Takagi-Sugeno model Sufficient conditions Uncertainty

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An interpretable reasoning network for multi-relation question answering

arXiv

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arXiv 2018年

作者： Zhou, Mantong Huang, Minlie Zhu, Xiaoyan State Key Lab. of Intelligent Technology and Systems National Lab. for Information Science and Technology Dept. of Computer Science and Technology Tsinghua University Beijing China

Multi-relation Question Answering is a challenging task, due to the requirement of elab.rated analysis on questions and reasoning over multiple fact triples in knowledge base. In this paper, we present a novel model called Interpretable Reasoning Network that employs an interpretable, hop-by-hop reasoning process for question answering. The model dynamically decides which part of an input question should be analyzed at each hop;predicts a relation that corresponds to the current parsed results;utilizes the predicted relation to update the question representation and the state of the reasoning process;and then drives the next-hop reasoning. Experiments show that our model yields state-of-the-art results on two datasets. More interestingly, the model can offer traceable and observable intermediate predictions for reasoning analysis and failure diagnosis, thereby allowing manual manipulation in predicting the final answer. Copyright © 2018, The Authors. All rights reserved.

关键词： Knowledge based systems

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Two new local search strategies for minimum vertex cover 26

Two new local search strategies for minimum vertex cover

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26th AAAI Conference on Artificial Intelligence and the 24th Innovative Applications of Artificial Intelligence Conference, AAAI-12 / IAAI-12

作者： Cai, Shaowei Su, Kaile Sattar, Abdul Key Laboratory of High Confidence Software Technologies Peking University Beijing China State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China Institute for Integrated and Intelligent Systems Griffith University Brisbane QLD Australia ATOMIC Project Queensland Research Lab. NICTA Australia

ISBN: (纸本)9781577355687

In this paper, we propose two new strategies to design efficient local search algorithms for the minimum vertex cover (MVC) problem. There are two main drawbacks in state-of-the-art MVC local search algorithms: First, they select a pair of vertices to be exchanged simultaneously, which is time consuming;Second, although they use edge weighting techniques, they do not have a strategy to decrease the weights. To address these drawbacks, we propose two new strategies: two stage exchange and edge weighting with forgetting. The two stage exchange strategy selects two vertices to be exchanged separately and performs the exchange in two stages. The strategy of edge weighting with forgetting not only increases weights of uncovered edges, but also decreases some weights for each edge periodically. We utilize these two strategies to design a new algorithm dubbed NuMVC. The experimental results show that NuMVC significantly outperforms existing state-of-the-art heuristic algorithms on most of the hard DIMACS instances and all instances in the hard random BHOSLIB benchmark. Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Heuristic algorithms

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Analyse Social Influence on Student Motivation based on Social Activity Network

Analyse Social Influence on Student Motivation based on Soci...

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2016年IEEE/INFORMS服务运筹、物流与信息化国际会议

作者： Shuai ZENG Jie ZHANG The State Key Lab of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Qingdao Academy of Intelligent Industries

Student motivation is one of the most important individual characters for explaining student performance in class. Existing researches show that it can be affected largely by social-contextual factors. Rather than focusing on social relationship, in this paper we construct social activity networks for analyzing the impact of collective behaviors on student motivation. We conduct field experiments to compare social activity networks with relationship networks by analyzing the structural characteristics. We also investigate the dynamic of social activities,and validate the effectiveness of social activity network in reflecting social influence on student motivation. Our results show that social activities are important factors affecting student motivation.

关键词： student motivation collective behaviour so cial network analysis online course

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Distributed Resilient state Estimation for Time-Varying Fractional-Order Discrete Complex Networks with Encoding-Decoding Scheme 42

Distributed Resilient State Estimation for Time-Varying Frac...

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42nd Chinese control Conference, CCC 2023

作者： Chen, Yu Hu, Jun Li, Jiaxing Zhou, Aozhan Yu, Hui Harbin University of Science and Technology Department of Applied Mathematics Harbin150080 China Harbin University of Science and Technology Heilongjiang Prov. Key Lab. of Optimization Control and Intelligent Analysis for Complex Systems Harbin150080 China School of Automation Harbin University of Science and Technology Harbin150080 China

ISBN: (纸本)9789887581543

In this paper, the distributed state estimation method with resilient attenuation feature is proposed for time-varying fractional-order complex networks under encoding-decoding mechanism. The encoding-decoding-induced dynamic errors for distinct nodes are characterized by the truncated Gaussian distributions. In order to compensate the effects induced by encoding-decoding scheme, the variances of encoding-decoding-induced dynamic errors are considered in process of designing the resilient distributed estimation algorithm. In particular, the upper bounds of updated estimation error covariances are derived firstly. Subsequently, the upper bounds are minimized by constructing the gain matrices at each sampling instant. Besides, a sufficient condition is provided to guarantee the boundedness of estimation error dynamics in the mean-square sense. Finally, the validity of distributed resilient state estimation scheme is demonstrated by a simulation example. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Complex networks

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Recursive Filtering for Time-Varying Nonlinear Delayed systems with Stochastic Parameter Matrices and Censored Measurements 42

Recursive Filtering for Time-Varying Nonlinear Delayed Syste...

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42nd Chinese control Conference, CCC 2023

作者： Yang, Shuo Hu, Jun Gao, Peixia Dong, Ruijie Wu, Zhihui Harbin University of Science and Technology Department of Applied Mathematics Harbin150080 China Harbin University of Science and Technology Heilongjiang Prov. Key Lab. of Optimization Control and Intelligent Analysis for Complex Systems Harbin150080 China School of Automation Harbin University of Science and Technology Harbin150080 China

ISBN: (纸本)9789887581543

This paper discusses the design problem of recursive filtering method for time-varying nonlinear delayed systems (NDSs) with stochastic parameter matrices (SPMs) and censored measurements. In particular, the Tobit Type I model provides a description of the censored measurements. The main objective of this paper is to construct a recursive filter for NDSs with both SPMs and censored measurements. The upper bound of the filtering error covariance is first calculated via mathematical induction, and the upper bound is then minimized by choosing proper filter gain. Besides, a sufficient condition is provided to guarantee that the filtering error is uniformly bounded in the mean-square sense. Finally, the viability and applicability of the proposed filtering method are demonstrated using a numerical simulation. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Stochastic systems

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GNSS/IMU Integrated Navigation Methods with NLOS Mitigation 24

GNSS/IMU Integrated Navigation Methods with NLOS Mitigation

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24th COTA International Conference of Transportation Professionals: Resilient, intelligent, Connected, and Lowcarbon Multimodal Transportation, CICTP 2024

作者： Zuo, Yang Duan, Xuting Xia, Haiying Zhou, Jianshan School of Transportation Science and Engineering Beihang Univ. Beijing China State Key Lab of Intelligent Transportation System Beijing China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beijing China Zhongguancun Laboratory Beijing China Key Laboratory of Operation Safety Technology on Transport Vehicles Ministry of Transport Beijing China

ISBN: (数字)9780784485484

ISBN: (纸本)9780784485484

With the development of computer technology, intelligent vehicles have become a popular orientation at present. This paper provides a solution for the traditional GNSS/IMU integrated navigation to mitigate the influence of non-line-of-sight (NLOS) environments and achieve high-precision navigation. The LOS/NLOS switching is treated as a transition in a Markov chain, and the DIMM filtering is applied to obtain GNSS-filtered data free from the influence of NLOS. GNSS/IMU integrated navigation is loose coupling in that the method combines IMU information with processed GNSS measurement using the ESKF (Error-state Kalman Filter) to achieve accurate target tracking and positioning by utilizing the state difference as the state variable. Simulation results demonstrate that the proposed method significantly improves tracking and positioning accuracy by effectively mitigating NLOS effects compared to traditional methods. This research provides an effective solution for real-world autonomous vehicle navigation systems and optimizes the city driving experience. © ASCE.

关键词： Markov chains

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Design of Recursive Filtering Scheme via An Improved Weighted Try-Once Discard Protocol 6

Design of Recursive Filtering Scheme via An Improved Weighte...

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6th International Conference on Industrial Artificial Intelligence, IAI 2024

作者： Zheng, Kaiwen Hu, Jun Du, Junhua Yu, Hui Harbin University of Science and Technology Department of Applied Mathematics Harbin150080 China Harbin University of Science and Technology Heilongjiang Prov. Key Lab. of Optimization Control and Intelligent Analysis for Complex Systems Harbin150080 China School of Automation Harbin University of Science and Technology Harbin150080 China

ISBN: (纸本)9798350356618

This paper investigates the recursive filtering (RF) problem for stochastic multi-rate (MR) systems, where the information transmission is regulated by an improved weighted try-once-discard protocol (IWTODP). In order to reduce communication overhead and mitigate network congestion, the IWTODP is firstly proposed and designed to schedule the order of data transmission from the sensors. The main objective of this paper is to design a new RF scheme to minimize the upper bound (UB) on the filtering error (FE) covariance in each iteration step in the presence of IWTODP and MR sampling. In particular, an iterative way is given to provide the expression form of the gain of RF. Finally, the effectiveness of the proposed RF method is illustrated through simulation example. © 2024 IEEE.

关键词： Stochastic systems

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